9.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- California Institute of TechnologyUS101 papers
- Massachusetts Institute of TechnologyUS100 papers
- Columbia UniversityUS97 papers
- Monash UniversityAU97 papers
- Stanford UniversityUS97 papers
- University of MichiganUS97 papers
- University of MinnesotaUS97 papers
- Australian National UniversityAU96 papers
- California State University, FullertonUS96 papers
- Cardiff UniversityGB96 papers
- Leibniz University HannoverDE96 papers
- LIGO Scientific CollaborationUS96 papers
5 papers · 1 filter
SCOPE: Real-Time Natural Language Camera Agent at the Edge
Nikolaj Hindsbo, Sina Ehsani, Pragyana Mishra
Deploying language-driven agents in robotics requires evaluations that reflect real-world task demands: natural-language instructions with reproducible outcomes. Such agents must c…
Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models
Jae-Won Chung, Jeff J. Ma, Jisang Ahn +4
Any-to-Any models are an emerging class of multimodal models that accept combinations of multimodal data (e.g., text, image, video, audio) as input and generate them as output. Ser…
Writing Blog Posts Helps Students Connect Experiential Learning to the Workplace
Utsab Saha, Lola Egherman, Ramiz Rahman +3
Undergraduates in work-based learning experiences often produce meaningful contributions as viewed by their supervisors, yet report a negative perception of their contributions bec…
Retrieval Collapses When AI Pollutes the Web
Hongyeon Yu, Dongchan Kim, Young-Bum Kim
The rapid proliferation of AI-generated content on the Web presents a structural risk to information retrieval, as search engines and Retrieval-Augmented Generation (RAG) systems i…
Parallel Complex Diffusion for Scalable Time Series Generation
Rongyao Cai, Yuxi Wan, Kexin Zhang +4
Diffusion models learn data distributions indirectly through denoising, making the difficulty of generative modeling closely tied to the dependency structure of data. For time seri…